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Electricity generation/consumption, renewable energy, smart grid, oil/gas, carbon emissions
4,893 datasets
Undeveloped oil and gas discoveries in the UK North Sea, managed by the North Sea Transition Authority. The dataset provides links to downloadable montages and data packs from UKOilandGasData.com. It is available under an open government license and was last updated in July 2026.
Licence boundaries covering both onshore and offshore UK taken directly from the North Sea Transition Authority's Petroleum E-business, Assignment and Relinquishment System (PEARS). The dataset was last updated on 2026-07-08 and is available in multiple geospatial formats including CSV, GEOJSON, and KML. It is published under the OGL-UK-3.0 license.
Chelmsford City Council publishes this dataset listing public toilets within the Chelmsford area under the Open Data Incentive Scheme. The data is available in CSV and HTML formats and is licensed under the OGL-UK-3.0 license. It was last updated on July 8, 2026.
Licence boundaries covering both onshore and offshore UK are provided in this dataset. The data is taken directly from the North Sea Transition Authority's Petroleum E-business, Assignment and Relinquishment System (PEARS). It was last updated on 2026-07-08 13:32:43.809171.
Licence boundaries for oil and gas exploration and production in the UK, covering both onshore and offshore areas. The data originates from the North Sea Transition Authority's Petroleum E-business, Assignment and Relinquishment System (PEARS). It was last updated on 2026-07-08.
OGA's Undeveloped Discoveries dataset provides information on oil and gas discoveries in the UK that have not been developed. It includes links to UKOilandGasData.com for downloading detailed montages and data packs. The dataset is available under an open government license and is maintained by the North Sea Transition Authority.
Licence boundaries covering both onshore and offshore UK taken directly from OGA's Petroleum E-business, Assignment and Relinquishment System (PEARS). The dataset is provided by the North Sea Transition Authority and was last updated on 2026-07-08. It is available under the OGL-UK-3.0 license.
OGA Licensed Blocks WGS84 contains the boundaries for petroleum licences in the United Kingdom, covering both onshore and offshore areas. The data originates from the North Sea Transition Authority's Petroleum E-business, Assignment and Relinquishment System (PEARS). The dataset was last updated on 2026-07-08.
OGA RestrictedBlocks ETRS89 is a geospatial dataset from the North Sea Transition Authority. It delineates blocks on the UK Continental Shelf where oil and gas activity is restricted. The dataset was last updated on 2026-07-08 and is available under the OGL-UK-3.0 license.
Licence boundaries covering both onshore and offshore UK taken directly from the Oil and Gas Authority's Petroleum E-business, Assignment and Relinquishment System (PEARS). The dataset is provided by the North Sea Transition Authority and was last updated on 2026-07-08. It is available in multiple geospatial formats including CSV, GeoJSON, KML, and ESRI REST services.
Licence boundaries for UK oil and gas exploration are taken directly from the OGA's Petroleum E-business, Assignment and Relinquishment System (PEARS). The data is provided by the North Sea Transition Authority and was last updated on 2026-07-08. It covers both onshore and offshore areas of the United Kingdom.
Undeveloped oil and gas discoveries compiled by the North Sea Transition Authority, last updated on 2026-07-08. The dataset includes links to external data packs and montages available for download from UKOilandGasData.com. It is provided in multiple geospatial and tabular formats including CSV, GEOJSON, KML, and ESRI REST services.
Licence boundaries covering both onshore and offshore UK taken directly from OGA's Petroleum E-business, Assignment and Relinquishment System (PEARS). The data is provided by the North Sea Transition Authority and was last updated on 2026-07-08. It is available in multiple geospatial formats including CSV, GEOJSON, and KML.
An overview article on solar-driven multi-effect distillation (MED) technology for desalination, authored by Amr Omar from UNSW Sydney. The text discusses MED operation design, integration with solar energy, and potential coupling with concentrated solar power plants for cogeneration. The dataset is an open-access text resource from the Paperswithcode platform.
Fifteen priority species, including 12 birds and 3 cetaceans, were identified for a rapid information exploration by the Department of Climate Change, Energy, the Environment and Water. This record describes a collated data inventory for the Shy Albatross (Thalassarche cauta) in relation to the Gippsland offshore renewable energy declaration area. The inventory was published by the Australian Ocean Data Network and last updated on June 5, 2026.
Synthetic training datasets created by Georgeos Hardo at the University of Cambridge. The data is used to train models for segmenting bacterial cells under various microscopy conditions. It includes images of B. subtilis and E. coli growing in mother machines, on agar pads, and in microfluidic devices.
Gippsland declaration area and adjacent Bass Strait regions are the focus of this data inventory for the Curlew Sandpiper, a critically endangered bird. The inventory was created by the Australian Ocean Data Network as part of a project exploring information for 15 priority species. It identifies relevant datasets, their sources, accessibility, and utility for environmental assessments related to offshore renewable energy.
An inventory of publicly-available occurrence data for the Mongolian Lesser Sand Plover, a priority endangered species. The data was collated by the Australian Ocean Data Network as part of a rapid exploration project for the Gippsland offshore renewable energy declaration area. The project identified and evaluated datasets for 15 priority species to support regulatory assessments.
Results from a 2019 study by Tim Tröndle of ETH Zurich investigating the possibility for renewable electricity self-sufficiency in Europe. The data includes metrics for administrative units at continental, national, regional, and municipal levels. It contains fields such as population, current electricity demand, and potential for renewable capacity and annual yield.
System data published as a supplement to a 2024 research article on robust scheduling of integrated electricity and gas systems. The data was created by Behnam Akbari from ETH Zurich to support the cost and flexibility assessment described in the paper. The specific volume, format, and granularity of the data are not detailed in the available metadata.